Abstract
Modern online services facilitate many aspects of the human life
such as goods and food shopping and delivery. The number of requested services is growing fast and at the same time can be seen growth of unattended
constraints, unforeseen limitations and accidental events which affect the quality and feasibility of the service. Efficient management of online delivery requires optimisation at appropriate scale. This article discusses examples of
online delivery services, which require optimization, points out advantages, and
limitations, highlights their scale and the role of numerical methods for reducing the cost and time for delivery. Initial investigation illustrates algorithms capabilities to resolve such tasks and discusses current issues. Experimental results on high dimensional tests and consideration of further work conclude the
article.
such as goods and food shopping and delivery. The number of requested services is growing fast and at the same time can be seen growth of unattended
constraints, unforeseen limitations and accidental events which affect the quality and feasibility of the service. Efficient management of online delivery requires optimisation at appropriate scale. This article discusses examples of
online delivery services, which require optimization, points out advantages, and
limitations, highlights their scale and the role of numerical methods for reducing the cost and time for delivery. Initial investigation illustrates algorithms capabilities to resolve such tasks and discusses current issues. Experimental results on high dimensional tests and consideration of further work conclude the
article.
Original language | English |
---|---|
Title of host publication | Numerical Methods and Applications |
Subtitle of host publication | 10th International Conference, NMA 2022, Borovets, Bulgaria, August 22–26, 2022, Proceedings |
Editors | Ivan Georgiev, Maria Datcheva, Krassimir Georgiev, Geno Nikolov |
Publisher | Springer |
Pages | 271-278 |
Number of pages | 8 |
ISBN (Electronic) | 978-3-031-32412-3 |
ISBN (Print) | 9783031324116 |
DOIs | |
Publication status | Published - 16 May 2023 |
Publication series
Name | Lecture Notes in Computer Science |
---|---|
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |